Recreating the human mind's ability to infer patterns and relationships from complex events could lead to a universal model of artificial intelligence.
Computer Sciences
Feb 20, 2019
0
21
Geoscientists at Sandia National Laboratories used 3D-printed rocks and an advanced, large-scale computer model of past earthquakes to understand and prevent earthquakes triggered by energy exploration.
Earth Sciences
Mar 10, 2021
0
234
Chemical elements make up pretty much everything in the physical world. As of 2016, we know of 118 elements, all of which can be found categorized in the famous periodic table that hangs in every chemistry lab and classroom.
Materials Science
Jul 6, 2021
0
30
Computers are good at identifying patterns in huge data sets. Humans, by contrast, are good at inferring patterns from just a few examples.
Computer Sciences
Dec 5, 2014
0
0
,Should we be afraid of artificial intelligence? For me, this is a simple question with an even simpler, two letter answer: no. But not everyone agrees – many people, including the late physicist Stephen Hawking, have raised ...
Other
Sep 24, 2018
7
130
By applying a machine-learning algorithm, scientists at the Niels Bohr Institute, University of Copenhagen, have developed a method to classify all gamma-ray bursts (GRBs), rapid highly energetic explosions in distant galaxies, ...
Astronomy
Jul 17, 2020
1
166
A small team of chemists at the Russian Academy of Sciences, has found that metal atoms, not nanoparticles, play the key role in catalysts used in fine organic synthesis. In the study, reported in the Journal of the American ...
In the past decade, optical sensing tasks have become more demanding. As a result, it has become critical to build miniaturized, inexpensive sensors that can be integrated on-chip to enable mobile applications in smart phones, ...
Optics & Photonics
Mar 24, 2023
0
47
Nanostructured layers boast countless potential properties—but how can the most suitable one be identified without any long-term experiments? A team from the Materials Discovery Department at Ruhr-Universität Bochum (RUB) ...
Materials Science
Mar 26, 2020
0
32
University of Alberta researchers have developed techniques that save a significant amount of time in developing more efficient carbon capture technologies, which may help lower the costs to use the technologies and increase ...
Materials Science
Jan 17, 2020
5
179
